AI Lab

AI Lab
En / 中
研究成果

期刊论文 (2017-2020)

  • Muhammad Q. Memon, Yu Lu, Penghe Chen, Aasma Memon, and Muhammad S. Pathan, Zulfiqar A. Zardari, “An ensemble clustering approach for topic discovery using implicit text segmentation", Journal of Information Science, accepted in Apr 2020. [PDF]

  • Yu Lu, Huayu Wu, Xin Liu, and Penghe Chen, “TourSense: A Framework for Tourist Identification and Analytics Using Transport Data", IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), vol.31, no.12, pp.2407-2422,2019. [PDF]

  • Muhammad Q. Memon, Jingsha He, Yu Lu, Nafei Zhu, and Aasma Memon, “An Improvised Sub-Document Based Framework for Efficient Document Clustering", Journal of Internet Technology, vol.20, no.4, pp.1191-1203,2019. [PDF]

  • Yu Lu, Jingjing Zhang, Baoping Li, Penghe Chen, and Zijun Zhuang, “Harnessing Commodity Wearable Devices to Capture Learner Engagement", IEEE Access, vol. 7, pp.15749-15757, 2019. [PDF]

  • Yu Lu, Archan Misra, Wen Sun, and Huayu Wu, “Smartphone Sensing Meets Transport Data: A Collaborative Framework for Transportation Service Analytics", IEEE Transactions on Mobile Computing (IEEE TMC), vol.17, no.4, pp.945-960, 2018. [PDF]

  • Yu Lu, Zeng Zeng, Huayu Wu, and Jingjing Zhang, “An Intelligent System for Taxi Service: Analysis, Prediction and Visualization", AI Communications, vol.31, no.1, pp.33-46, 2018. [PDF]

  • Penghe Chen, Yu Lu, Vincent W. Zheng, Xiyang Chen, and Boda Yang, “KnowEdu: A System to Construct Knowledge Graph for Education", IEEE Access, vol. 6, pp.31553-31563, 2018. [PDF]

  • Yu Lu, Sen Zhang, Zhiqiang Zhang, Wendong Xiao, and Shengquan Yu, “A Framework for Learning Analytics Using Commodity Wearable Devices", Sensors, vol. 17, no. 6. 2017. [PDF]

  • 卢宇, 薛天琪, 陈鹏鹤, 余胜泉, “智能教育机器人系统构建及关键技术——以'智慧学伴'机器人为例”, 开放教育研究, 26(02):83-91, 2020. [PDF]

  • 谭红叶, 午泽鹏, 卢宇, 段庆龙, 李茹, 张虎, “基于代表性答案选择与注意力机制的短答案自动评分”, 中文信息学报, 33(11):134-142, 2019. [PDF]

  • 陈鹏鹤, 彭燕, 余胜泉, “AI好老师——智能育人助理系统设计与技术实现”, 开放教育研究, 25(2):12-22, 2019. [PDF]

  • 余胜泉, 彭燕, 卢宇, “基于人工智能的育人助理系统——'AI好老师'的体系结构与功能”, 开放教育研究, 25(01):25-36, 2019. [PDF]

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    会议论文 (2017-2020)

  • Ken Kahn, Yu Lu, Jingjing Zhang, Niall Winters, and Ming Gao, "Deep Learning Programming by All", International Conference on Constructionism, Dublin, Ireland, 2020. [PDF]

  • Penghe Chen, Yu Lu, Yan Peng, Jiefei Liu, and Qi Xu, “Identification of Students' Need Deficiency Through A Dialogue System", International Conference on Artificial Intelligence in Education (AIED'2020), 2020. [PDF]

  • Yu Lu, Deliang Wang, Qinggang Meng, and Penghe Chen, “Towards Interpretable Deep Learning Models for Knowledge Tracing", International Conference on Artificial Intelligence in Education (AIED'2020), 2020. [PDF]

  • Yang Pian, Yu Lu, Yuqi Huang, and Ig Bittencourt, “A Gamified Solution to the Cold-Start Problem of Intelligent Tutoring System", International Conference on Artificial Intelligence in Education (AIED'2020), 2020. [PDF]

  • Yan Peng, Penghe Chen, Yu Lu, Qinggang Meng, Qi Xu and Shengquan Yu, “A Task-Oriented Dialogue System for Moral Education", International Conference on Artificial Intelligence in Education (AIED'2019), Chicago, U.S., 2019. [PDF]

  • Yang Pian, Yu Lu, Penghe Chen, and Qinglong Duan, “CogLearn: A Cognitive Graph-Oriented Online Learning System", IEEE Conference on Data Engineering (ICDE'2019), Demo Paper, Macau SAR, China, 2019. [PDF]

  • Yu Lu, Chen Chen, Penghe Chen, Xiyang Chen, and Zijun Zhuang, “Smart Learning Partner: An Interactive Robot for Education", International Conference on Artificial Intelligence in Education (AIED'2018), London, UK, 2018. [PDF]

  • Penghe Chen, Yu Lu, Vincent W. Zheng, and Yang Bian, “Prerequisite-Driven Deep Knowledge Tracing", IEEE Conference on Data Mining (ICDM'2018), Singapore, 2018. [PDF]

  • Penghe Chen, Yu Lu, Vincent W. Zheng, et al., “An Automatic Knowledge Graph Construction System for K-12 Education", ACM Conference on Learning at Scale (L@S'2018), London, UK, 2018. [PDF]

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    专利 (2017-2020)

  • 余胜泉;卢宇;杨博达;李葆萍.一种基于协同过滤思想的学习者学科总测成绩预测系统及方法，授权，2017.10，CN201710454618.9.

  • 余胜泉;卢宇;庄梓君;李葆萍.一种基于网络学习环境的资源推荐系统及方法，授权，2018.01，CN201710799698.1.

  • 余胜泉;陈锡洋;陈鹏鹤;卢宇.一种基于教育知识图谱的问答分析与处理方法及系统，公开实审中，2018.11，CN201810637048.1.

  • 余胜泉;段庆龙;卢宇.一种结合短文本聚类和推荐机制的主观题批阅系统及方法，公开实审中，2018.11，CN201810499529.0.

  • 余胜泉;陈鹏鹤;刘杰飞;卢宇.一种知识点导向的教育资源采集与分类的方法和系统，公开实审中，2020.04，CN202010200176.7.

  • 卢宇;余胜泉;谭红叶;段庆龙.一种开放式简答题自动评分的方法和系统，公开实审中，2020.04 ， CN202010199902.8.

  • 余胜泉;陈鹏鹤;刘杰飞;卢宇.一种基于短语结构树的相似题目识别方法和系统，公开实审中，2020.09，CN202010765054.2.

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    软件著作权 (2017-2020)

  • 软件著作权，雷达数学智能学习导航及诊断分析系统【简称：雷达数学】V1.0, 著作号（2020SR0129571）, 原始取得，全部权利，2020.2

  • 软件著作权，基于智能机器人的语音交互学习软件【简称：小高老师】V1.0, 著作号（2017SR724344）, 原始取得，全部权利，2017.12

    • 在研系统

  • 雷达数学智能导学系统

  • AI好老师智能育人助手

  • 互动式智能教育机器人

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